Among them are
- lack of correction for background expression
- different metastatic sites were not analyzed as separate entities
- expression cut-off level for microRNAs to ensure biological relevance are typically not used
We establish a stringent, reproducible and easily expandable bioinformatics pipeline (github.com/eirikhoye/mirn…) that we applied on all previously published (depending on availability) and a large range of novel smallRNA sequencing datasets, altogether 268 datasets.
We find that microRNA expression of correctly performed experiments is independent of study and resemble location in the body (i.e. organ) academic.oup.com/view-large/fig…
We also show that cell-type specific microRNAs inform about cellular heterogeneity in tissues, rather than deregulation academic.oup.com/view-large/fig…
Finally, we show a set of clearly deregulated microRNAs in metastases with strong potential as biomarkers and for future mechanistic studies. academic.oup.com/narcancer/arti…
Thank you for comments and help with data acquisition @MichaelHackenbe
This study started back in 2014 and actually made us realize, back in 2015, that the human microRNA complement needed reannotation. which ultimately led to the creation of @MirGeneDB
If you are interested in our approach see @HyeEirik presenting part of the approach and results here
When reading the great study by Smith et al on the #Tumatpuppy ancient RNA sequencing that used a smallRNA sequencing protocol, we immediately thought to dig deeper in their data for #microRNAs. 2/6 journals.plos.org/plosbiology/ar…
Teaming up with them and @CpgSthlm (@love_dalen), we found microRNAs that showed abundances and nucleotide damage patterns (!) comparable to what had been described from historic, but never before from such ancient, >14 000yrs old RNA samples 3/6